Practical Python AI Projects
About this book
Discover the art and science of solving artificial intelligence problems with Python using optimization modeling. This book covers the practical creation and analysis of mathematical algebraic models such as linear continuous models, non-obviously linear continuous models,and pure linear integer models. Rather than focus on theory, Practical Python AI Projects, the product of the author's decades of industry teaching and consulting, stresses the model creation aspect; contrasting alternate approaches and practical variations.Each model is explained thoroughly and written to be executed. The source code from all examples in the book is available, written in Python using Google OR-Tools. It also includes a random problem generator, useful for industry application or study.You will:Build basic Python-based artificial intelligence (AI) applications Work with mathematical optimization methods and the Google OR-Tools (Optimization Tools) suiteCreate several types of projects using Python and Google OR-Tools
Reader Profile
· 279 pages · ≈ 5 h 10 m · Moderate
How long does it take to read Practical Python AI Projects?
About ≈ 5 h 10 m — 279 pages, assuming roughly 250 words per page at 225 words per minute.
How many pages is Practical Python AI Projects?
279 pages in its most-read edition.
Is Practical Python AI Projects in the public domain?
No — it is still under copyright.
Who wrote Practical Python AI Projects?
Serge Kruk.